Anshan Normal University Liaoning China
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Junior Research Scientist in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. References [1] http://tiramisu-compiler.org/
Salary
Competitive
Posted
6 Apr 2026
Research Fellow/Research Engineer (Naval Architecture) - WX2
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop/produce/investigate a web-based Ship Simulation and Optimisation Software Platform. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: i. Develop naval architecure calculation and ship design tools based on analytical or empirical methods, i.e., stability calculation, resistance and propulsion estimation, weight estimation, etc. ii. Develop a practical parametric model framework for ship and system design. iii. Carry out naval architecture calculations, i.e., stability, resistance, hydrodynamic analysis, etc. iv. Carry out ship hydrodynamic and CFD simulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of naval architecture and ship hydrodynamics. Have a degree in Naval Architecture / Marine Engineering / Ocean Engineering / Other Relevant Engineering Degree. Possessing a Master’s or PhD degree will be advantageous. Experience in any programming language will be advantageous. Experience in marine hydrodynamics will be advantageous. Key Competencies Able to develop naval architecture calculation and ship design tools Able to carry out ship hydrodynamic simulations Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work
Salary
Competitive
Posted
7 Apr 2026
Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently
Salary
Competitive
Posted
6 Apr 2026
Dean, School of Education and Tertiary Access
University of the Highlands and Islands
Australia, Brisbane
University of the Highlands and Islands
Australia, Brisbane
Strategic senior academic leadership opportunity Lead innovation in education, strengthening pathways to higher education and advancing impact across schools, industry and regional communities Full-time, fixed-term appointment for five years The University of the Sunshine Coast (UniSC) is driven by a bold vision to become Australia’s premier regional university. Anchored in a mission to enrich its regions, connect with communities, and create opportunities for all, the University is embarking on a transformative journey in higher education. As part of this journey, UniSC is seeking to appoint an outstanding and visionary academic leader as Dean, School of Education and Tertiary Access. Reporting to the Deputy Vice-Chancellor (Academic), the Dean provides strategic, operational and academic leadership to one of UniSC’s flagship schools and is a key member of the University’s senior management committee and Academic leadership team, as well as the Vice-Chancellor’s extended leadership team. The Dean is responsible for setting the strategic vision for the School while overseeing operational, human and financial planning, and leading the planning, continuous improvement and innovation of teaching, research and engagement programs. With a strong focus on innovation, equity and sustainability, the role will lead a culture of excellence across teaching, research and engagement, advancing student success and supporting UniSC’s mission to transform lives through learning and knowledge. The School of Education and Tertiary Access is central to UniSC’s commitment to regional impact, combining cutting-edge research, exceptional teaching and strong industry and community collaboration. The Dean will champion growth and development of the School, building a sustainable and scalable academic environment that supports student growth, delivers high-quality and innovative teaching programs, and strengthens research performance, impact and partnerships. Working collaboratively across the University, the Dean will contribute to strategic planning and decision-making, while also engaging externally with industry, government, professional bodies and the community to enhance the School’s profile, reputation and opportunities for engagement and impact. The successful candidate will be an exceptional academic leader with a passion for driving transformative change and fostering student success. With a PhD in a relevant discipline and a proven track record of academic leadership, you bring expertise in strategic vision setting, operational management, and interdisciplinary collaboration. You have demonstrated capability to lead and implement strategic, financial and operational plans within a complex and evolving higher education environment, with a track record of delivering sustainable growth, managing resources effectively and achieving organisational outcomes. You bring proven experience in building and sustaining high-performing academic environments, leading the development of teaching, research and engagement, and supporting staff to achieve both strategic and operational objectives. Your leadership style is inclusive and empowering, with the ability to foster interdisciplinary, cross-school and cross-campus collaboration. You are highly effective in building and sustaining partnerships with industry, government, professional bodies and the community, contributing to the School’s profile and reputation at regional, national and international levels. A strong understanding of the higher education sector, including its challenges, regulatory environment and evolving industry needs, will be essential. High-level interpersonal, communication and influencing skills, together with a commitment to equity, diversity, inclusion and sustainability, will underpin your success in the role and your contribution to UniSC’s mission and values. The University of the Sunshine Coast has partnered with Kuras Leadership Search for the recruitment of this position. For a confidential discussion, please contact Betty Kuras on +61 3 9653 9599 or via email at apply@kurasleadershipsearch.com quoting job code 2644. Applications close Wednesday 6 May 2026. For further information, please refer to the Candidate Information Page:https://careers.usc.edu.au/dean-school-of-education-and-tertiary-access Position description: PD_ Dean School of School Education and Tertiary Access.pdf
Salary
Attractive remuneration commensurate with skills and experience
Posted
7 Apr 2026
Post-Doctoral Associate in Sand Hazards and Opportunities in Resilience, Energy, and Sustainability
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development. Preferred Qualifications: Experience in the following will be preferred: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from monitoring systems Validation of modeling results against experimental and monitoring data Postdoctoral Associate Employment at NYUAD: The terms of employment include highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children as well as other benefits. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Mostafa Mobasher at mostafa.mobasher@nyu.edu. Applications may be submitted on https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.
Salary
Competitive
Posted
6 Apr 2026